Xiaomi Mix 2S
Geekbench AI Score
15
Single Precision Score
15
Half Precision Score
9
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Slich2 |
| Upload Date | January 04 2025 05:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 845 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi Mix 2S |
| Model ID | Xiaomi Mi MIX 2S |
| Motherboard | sdm845 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 6 part 2050 revision 13 |
| Base Frequency | 1.77 GHz |
| Cluster 1 | 4 Cores @ 1.77 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
2.67 KIPS |
|
|
Image Classification (HP)
|
0% |
0
2.72 KIPS |
|
|
Image Classification (Q)
|
0% |
0
3.56 KIPS |
|
|
Image Segmentation (SP)
|
73% |
15239
263.4 IPS |
|
|
Image Segmentation (HP)
|
73% |
15521
268.2 IPS |
|
|
Image Segmentation (Q)
|
73% |
40005
691.3 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
906.2 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
952.1 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
1.97 KIPS |
|
|
Object Detection (SP)
|
0% |
0
1.23 KIPS |
|
|
Object Detection (HP)
|
0% |
0
1.20 KIPS |
|
|
Object Detection (Q)
|
0% |
0
974.8 IPS |
|
|
Face Detection (SP)
|
0% |
0
353.5 IPS |
|
|
Face Detection (HP)
|
0% |
0
354.7 IPS |
|
|
Face Detection (Q)
|
0% |
0
581.7 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
811.6 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
885.2 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
781.9 IPS |
|
|
Style Transfer (SP)
|
32% |
142966
1.79 KIPS |
|
|
Style Transfer (HP)
|
32% |
142831
1.79 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
3.43 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.85 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
261
3.08 KIPS |
|
|
Text Classification (SP)
|
29% |
366
6.33 KIPS |
|
|
Text Classification (HP)
|
29% |
371
6.40 KIPS |
|
|
Text Classification (Q)
|
29% |
396
6.85 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
7.38 IPS |
|
|
Machine Translation (HP)
|
0% |
0
6.65 IPS |
|
|
Machine Translation (Q)
|
0% |
0
4.92 IPS |
